{"doi":"10.1101/2020.06.10.20067116","title":"The architecture of co-morbidity networks of physical and mental health conditions in military veterans","abstract":"Abstract Co-morbidity between medical and psychiatric conditions is commonly considered between individual pairs of conditions. However, an important alternative is to consider all conditions as part of a co-morbidity network, which encompasses all interactions between patients and a healthcare system. Analysis of co-morbidity networks could detect and quantify general tendencies not observed by smaller-scale studies. Here, we investigate the co-morbidity network derived from longitudinal healthcare records from approximately 1-million U.S. military veterans, a population disproportionately impacted by psychiatric morbidity and psychological trauma. Network analyses revealed marked and heterogenous patterns of co-morbidity, including a multi-scale community structure composed of groups of commonly co-morbid conditions. Psychiatric conditions including posttraumatic stress disorder were strong predictors of future medical morbidity. Neurological conditions and conditions associated with chronic pain were particularly highly co-morbid with psychiatric conditions. Across conditions, the degree of co-morbidity was positively associated with mortality. Co-morbidity was modified by biological sex and could be used to predict future diagnostic status, with out-of-sample prediction accuracy of 90-92%. Understanding complex patterns of disease co-morbidity has the potential to lead to improved designs of systems of care and the development of targeted interventions that consider the broader context of mental and physical health.","journal":"medRxiv","year":2020,"id":125057,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9458,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":232635,"name":"Armin Raznahan","orcid":"0000-0002-5622-1190","position":1,"is_corresponding":false},{"id":52271,"name":"Russell T. Shinohara","orcid":"0000-0001-8627-8203","position":2,"is_corresponding":false},{"id":107840,"name":"Samuel R. Mathias","orcid":"0000-0002-9332-288X","position":3,"is_corresponding":false},{"id":432047,"name":"Harini Bathulapalli","orcid":"0000-0002-2531-0238","position":4,"is_corresponding":false},{"id":570705,"name":"Ish P. Bhalla","orcid":"0000-0002-9598-2689","position":5,"is_corresponding":false},{"id":348853,"name":"Joseph L. Goulet","orcid":"0000-0002-0842-804X","position":6,"is_corresponding":false},{"id":230040,"name":"Theodore D. Satterthwaite","orcid":"0000-0001-7072-9399","position":7,"is_corresponding":false},{"id":103395,"name":"Danielle S. Bassett","orcid":"0000-0002-6183-4493","position":8,"is_corresponding":false},{"id":24964,"name":"David C. Glahn","orcid":"0000-0002-4749-6977","position":9,"is_corresponding":false},{"id":263472,"name":"Cynthia Brandt","orcid":"0000-0001-8179-1796","position":10,"is_corresponding":false},{"id":52339,"name":"Aaron Alexander-Bloch","orcid":"0000-0001-6554-1893","position":0,"is_corresponding":true}],"reference_count":83,"raw_metadata":null,"created_at":"2026-07-18T23:15:15.482227Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}